Block-floating-point FP16 achieves radar-grade SAR imaging matching FP32 quality at 42 dB SQNR with 2.2x speedup on Apple M1 by addressing exponent range limits rather than mantissa precision.
tcFFT: A fast half-precision FFT library for NVIDIA Tensor Cores,
2 Pith papers cite this work. Polarity classification is still indexing.
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A unified methodology achieves floating-point consistent results across DDSCAT, ADDA, and IFDDA solvers and enables fair CPU/GPU benchmarking with provided equivalence tables and software.
citing papers explorer
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Range, Not Precision: Block-Floating-Point Half-Precision FFT and SAR Imaging on Apple Silicon
Block-floating-point FP16 achieves radar-grade SAR imaging matching FP32 quality at 42 dB SQNR with 2.2x speedup on Apple M1 by addressing exponent range limits rather than mantissa precision.
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Floating-point consistent cross-verification methodology for reproducible and interoperable DDA solvers with fair benchmarking
A unified methodology achieves floating-point consistent results across DDSCAT, ADDA, and IFDDA solvers and enables fair CPU/GPU benchmarking with provided equivalence tables and software.